Hi everyone

when running identification command I got the following output

==== Identification analysis ====

Testing prior mean

Evaluating simulated moment uncertainty … please wait

Doing 231 replicas of length 300 periods.

Simulated moment uncertainty … done!

All parameters are identified in the model (rank of H).

WARNING !!!

The rank of J (moments) is deficient!

```
[Eta_Gl,Eta_Gh] are PAIRWISE collinear (with tol = 1.e-10) !
[Eta_tk,Eta_I] are PAIRWISE collinear (with tol = 1.e-10) !
[rho_Gl,rho_Gh] are PAIRWISE collinear (with tol = 1.e-10) !
[alpha_Gh,alpha_Gl] are PAIRWISE collinear (with tol = 1.e-10) !
```

rho_I is collinear w.r.t. all other params!

rho_tk is collinear w.r.t. all other params!

==== Identification analysis completed ====

97.1% of the prior support gives unique saddle-path solution.

0.0% of the prior support gives explosive dynamics.

2.9% of the prior support gives indeterminacy.

Smirnov statistics in driving acceptable behaviour

rho_Gh d-stat = 0.350 p-value = 0.000

rho_Gl d-stat = 0.370 p-value = 0.000

alpha d-stat = 0.602 p-value = 0.000

psi_h d-stat = 0.283 p-value = 0.000

Smirnov statistics in driving indeterminacy

rho_Gh d-stat = 0.340 p-value = 0.000

rho_Gl d-stat = 0.360 p-value = 0.000

alpha d-stat = 0.584 p-value = 0.000

psi_h d-stat = 0.275 p-value = 0.000

Starting bivariate analysis:

Correlation analysis for prior_stable

No correlation term with pvalue <0.001 found for prior_stable

Correlation analysis for prior_unacceptable

[rho_Gh,rho_Gl]: corrcoef = -0.459

[sigma_c,ksi_w]: corrcoef = -0.421

Correlation analysis for prior_indeterm

[rho_Gh,rho_Gl]: corrcoef = -0.459

[sigma_c,ksi_w]: corrcoef = -0.421

What does it mean?

What would you suggest?

Thank you